Traditional RDBMS (like SQL) uses simple queries to store and retrieve textual data. But with the arrival of large companies such as Facebook, Google, Amazon, etc., huge volumes of data are generated, which is why NoSQL databases have become popular. Previously, web applications were simple and did not generate such large amounts of data. Websites like Google, Twitter, Amazon, Facebook, Instagram, etc., collect terabytes of data every day. We use NoSQL databases for real-time web applications, mobile applications, big data, etc. It means that such databases do not have a fixed schema, but are explicitly intended for distributed data that requires huge data storage. Model the data by means other than tabular relationships. NoSQL stands for Not Only SQL or non-SQL and it is an unstructured database that helps to store and retrieve data. What is NoSQL and why should we use NoSQL? This database system became operational in mid-2000. Documents are a combination of key-value pairs that make up the basic unit of data in MongoDB.
Here, data and records are stored as documents that behave more like JSON objects. It is a document-oriented database system that belongs to the NoSQL (not SQL) family. MongoDB is one of the most popular unstructured database management systems that can store a large volume of data.
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